I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
A System-Level Solution for Low-Power Object Detection:
, In:
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
,
Li, Fanrong
;
Zhang, Yang
;
Cheng, Jian
... - p. 2461-2468 , 2019
Link:
https://doi.org/10.1109/ICCVW.2019.00301
RT T1 <cTitle>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</cTitle>: T1 <Title>A System-Level Solution for Low-Power Object Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9022427&Exemplar=1&LAN=DE A1 Li, Fanrong A1 Zhang, Yang A1 Cheng, Jian A1 Mo, Zitao A1 Wang, Peisong A1 Liu, Zejian A1 Zhang, Jiayun A1 Li, Gang A1 Hu, Qinghao A1 He, Xiangyu A1 Leng, Cong YR 2019 SN 2473-9944 K1 Quantization (signal) K1 Convolution K1 Field programmable gate arrays K1 Computer architecture K1 Kernel K1 Object detection K1 Hardware K1 Low power object detection K1 Quantization K1 Neural networks SP 2461 OP 2468 LK http://dx.doi.org/https://doi.org/10.1109/ICCVW.2019.00301 DO https://doi.org/10.1109/ICCVW.2019.00301 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
